Risultati della ricerca - distributed evolution (algorithm OR (algorithmics OR algorithmssicics))

Stein Variational Evolution Strategies di Braun, Cornelius V., Lange, Robert T., Toussaint, Marc

Sommario: “... an unnormalized probability distribution. However, the SVGD update relies on gradients of the log-density, which...”
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Learning Density Evolution from Snapshot Data di Yao, Rentian, Nitanda, Atsushi, Chen, Xiaohui, Yang, Yun

Sommario: “... distribution-on-scalar regression approach for estimating the density evolution of a stochastic process from...”
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Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents di Fan, Zhiyuan, Jin, Wenwei, Zhang, Feng, Li, Bin, Dong, Yihong, Hu, Yao, Li, Jiawei

Sommario: “... reinforcement learning, they still fail to treat self-evolution as a unified process to be jointly optimized...”
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Optimal Quantum Likelihood Estimation di Levi, Alon, Ossi, Ziv, Cohen, Eliahu, Te'eni, Amit

Sommario: “...A hybrid quantum-classical algorithm is a computational scheme in which quantum circuits are used...”
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Generalized Incremental Learning under Concept Drift across Evolving Data Streams di Yu, En, Lu, Jie, Zhang, Guangquan

Sommario: “... shifts, they overlook the critical co-evolution of label spaces and distributions under limited...”
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A Landscape-Aware Differential Evolution for Multimodal Optimization Problems di Lin, Guo-Yun, Chen, Zong-Gan, Liu, Chuanbin, Jiang, Yuncheng, Kwong, Sam, Zhang, Jun, Zhan, Zhi-Hui

Sommario: “...-aware differential evolution (LADE) algorithm is proposed for MMOPs, which utilizes landscape knowledge...”
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Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games di Liu, Guan-Horng, Chen, Tianrong, Theodorou, Evangelos A.

Sommario: “... the most likely particle evolution based on the principle of least action including kinetic and potential...”
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Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications di Termehchi, Atefeh, Hossain, Ekram, Woungang, Isaac

Sommario: “... the evolution of states and actions in trained DRL algorithms as unknown discrete, stochastic, and nonlinear...”
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Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies di Chifu, Viorica Rozina, Cioara, Tudor, Pop, Cristina Bianca, Anghel, Ionut

Sommario: “... are modeled through an evolutionary algorithm. An individual in the algorithm population is represented...”
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Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery di Gozeten, Halil Alperen, Zhang, Xuechen, Ildiz, Emrullah, Taga, Ege Onur, Javidi, Tara, Oymak, Samet

Sommario: “... evolution in most settings, with STA Best-Local providing the strongest in-distribution adaptation and STA...”
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Decomposition of Nonlinear Collision Operator in Quantum Lattice Boltzmann Algorithm di E, Dinesh Kumar, Frankel, Steven H.

Sommario: “...We propose a quantum algorithm to tackle the quadratic nonlinearity in the Lattice Boltzmann (LB...”
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FedAvgen: Metadata for Model Aggregation In Communication Systems di Kiggundu, Anthony, Krummacker, Dennis, Schotten, Hans D.

Sommario: “... is afterwards distributed to the client devices. This approach is known as federated learning and inherently...”
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Modeling Inequality in Complex Networks of Strategic Agents using Iterative Game-Theoretic Transactions di Kejriwal, Mayank, Luo, Yuesheng

Sommario: “... (often following a scale-free distribution) are not fully understood. A particular systemic measure...”
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Efficient classical computation of the neural tangent kernel of quantum neural networks di Hernandez, Anderson Melchor, Pastorello, Davide, De Palma, Giacomo

Sommario: “...We propose an efficient classical algorithm to estimate the Neural Tangent Kernel (NTK) associated...”
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Memory Effects in Disease Modelling Through Kernel Estimates with Oscillatory Time History di Mielke, Adam, Sørensen, Mads Peter, Wyller, John

Sommario: “... histories in the distributed time delay. We make use of this algorithmic framework to analyse memory effects...”
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The Genomic Code: The genome instantiates a generative model of the organism di Mitchell, Kevin J., Cheney, Nick

Sommario: “... encoded by the learning algorithm of evolution and decoded through the processes of development...”
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Generalized HMC using Nambu mechanics for lattice QCD di Lundstrum, Erik

Sommario: “...I describe a generalization of the hybrid Monte Carlo (HMC) algorithm in which the molecular...”
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Approximation Algorithms for Capacitated Vehicle Routing Problems: A Comprehensive Survey di Chen, Yongyu

Sommario: “... distance. Due to its extensive applications in logistics, distribution, and supply chain management, CVRP...”
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A Randomized Method for Simulating Lindblad Equations and Thermal State Preparation di Chen, Hongrui, Li, Bowen, Lu, Jianfeng, Ying, Lexing

Sommario: “... is available for the Lindblad evolution $e^{t\mathcal{L}_a}$, we implement $e^{t\mathcal{L}_a}$ for a randomly...”
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Diffusion-based Dynamic Contract for Federated AI Agent Construction in Mobile Metaverses di Wen, Jinbo, Kang, Jiawen, Zhang, Yang, Zhong, Yue, Niyato, Dusit, Xu, Jie, Tang, Jianhang, Yuen, Chau

Sommario: “..., maintenance, and evolution of mobile metaverses, enabling seamless human-machine interaction and dynamic...”
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